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In this paper an algorithm that improves side speaker attenuation for super directive beamformer like MVDR (Minimum Variance Distortionless Response) is presented. This technique can be utilized in a scenario where there are multiple people in a room intending to interact with an ASR- (automatic speech recognition) enabled device, e.g., smart speaker. The experiments show that the proposed solution gives a reduction of WER (word error rate) up to 23.93% calculated for command uttered by one user when a second user was treated as the side speaker.
Author (s): Kupryjanow, Adam; Rao R, Raghavendra; Maziewski, Przemek; Kurylo, Lukasz
Affiliation:
Intel Technology Poland, Gdansk, Poland; Intel Technology, Devarabeesanahalli, KA, India
(See document for exact affiliation information.)
AES Convention: 144
Paper Number:429
Publication Date:
2018-05-06
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Session subject:
Spatial Audio
Permalink: https://aes2.org/publications/elibrary-page/?id=19542
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Kupryjanow, Adam; Rao R, Raghavendra; Maziewski, Przemek; Kurylo, Lukasz; 2018; Distant Speech Beamforming Improving Multi-User ASR [PDF]; Intel Technology Poland, Gdansk, Poland; Intel Technology, Devarabeesanahalli, KA, India; Paper 429; Available from: https://aes2.org/publications/elibrary-page/?id=19542
Kupryjanow, Adam; Rao R, Raghavendra; Maziewski, Przemek; Kurylo, Lukasz; Distant Speech Beamforming Improving Multi-User ASR [PDF]; Intel Technology Poland, Gdansk, Poland; Intel Technology, Devarabeesanahalli, KA, India; Paper 429; 2018 Available: https://aes2.org/publications/elibrary-page/?id=19542